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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2022, 8th International Conference on Connected Smart Cities, CSC 2022, 7th International Conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th International Conference on Theory and Practice in Modern Computing, TPMC 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022(1)
Computers and Electronics in Agriculture(1)
Image and Vision Computing(1)
Intelligent Systems Reference Library(1)
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Computer vision based food grain classification: A comprehensive survey
ArticleAbstract: This manuscript presents a comprehensive survey on recent computer vision based food grain classificPalabras claves:Computer vision approaches, Food grain identification, machine vision, quality inspectionAutores:A. D. Sappa, Angel D. Sappa, Henry Oswaldo Velesaca Lara, Patricia L. Suarez Riofrio, Raúl A. Mira, Raúl Alberto MiraFuentes:googlescopusDOMAIN ADAPTATION IN IMAGE DEHAZING: EXPLORING THE USAGE OF IMAGES FROM VIRTUAL SCENARIOS
Conference ObjectAbstract: This work presents a novel domain adaptation strategy for deep learning-based approaches to solve thPalabras claves:Dehazing, Domain Adaptation, Synthetic Hazed DatasetAutores:A. D. Sappa, Angel D. Sappa, Dario Carpio, Henry Oswaldo Velesaca Lara, Patricia L. Suarez RiofrioFuentes:googlescopusDeep Learning Based Shrimp Classification
Conference ObjectAbstract: This work proposes a novel approach based on deep learning to address the classification of shrimp (Palabras claves:color space, Light weight network, PigmentationAutores:A. D. Sappa, Angel D. Sappa, Dario Carpio, Francisca Burgos, Henry Oswaldo Velesaca Lara, Patricia L. Suarez Riofrio, Patricia UrdialesFuentes:googlescopusCamera pose estimation in multi-view environments: From virtual scenarios to the real world
ArticleAbstract: This paper presents a domain adaptation strategy to efficiently train network architectures for estiPalabras claves:Domain Adaptation, Multi-view environments, Relative camera pose estimation, Siamese Architecture, synthetic dataAutores:A. D. Sappa, Angel D. Sappa, Boris X. Vintimilla Burgos, Henry Oswaldo Velesaca Lara, Jorge Misael Merchán RieraFuentes:googlescopusHuman Body Pose Estimation in Multi-view Environments
Book PartAbstract: This chapter tackles the challenging problem of human pose estimation in multi-view environments toPalabras claves:Autores:A. D. Sappa, Angel D. Sappa, Boris X. Vintimilla Burgos, Henry Oswaldo Velesaca Lara, Jorge Misael Merchán RieraFuentes:googlescopusOff-The-Shelf Based System for Urban Environment Video Analytics
Conference ObjectAbstract: This paper presents the design and implementation details of a system build-up by using off-the-shelPalabras claves:carbon footprint, greenhouse gases, object detection, object tracking, off-the-shelf video analytics, website frameworkAutores:A. D. Sappa, Henry Oswaldo Velesaca Lara, Patricia L. Suarez Riofrio, Sanchez A., Steven AraujoFuentes:googlescopusTransfer learning from synthetic data in the camera pose estimation problem
Conference ObjectAbstract: This paper presents a novel Siamese network architecture, as a variant of Resnet-50, to estimate thePalabras claves:deep learning, Extrinsic Camera Parameters, Multi-view environments, Relative camera pose estimation, Siamese Architecture, synthetic dataAutores:A. D. Sappa, Boris X. Vintimilla Burgos, Henry Oswaldo Velesaca Lara, Jorge Misael Merchán RieraFuentes:googlescopusTransformer based Image Dehazing
Conference ObjectAbstract: This paper presents a novel approach to remove non homogeneous haze from real images. The proposed mPalabras claves:atmospheric light, brightness component, computational cost, dehazing quality, haze-free imageAutores:A. D. Sappa, Angel D. Sappa, Dario Carpio, Henry Oswaldo Velesaca Lara, Patricia L. Suarez RiofrioFuentes:googlescopusSynthesized Image Datasets: Towards an Annotation-Free Instance Segmentation Strategy
Conference ObjectAbstract: This paper presents a complete pipeline to perform deep learning-based instance segmentation of diffPalabras claves:Food grains, Instance segmentation, Synthesized dataset generationAutores:A. D. Sappa, Angel D. Sappa, Dario Carpio, Henry Oswaldo Velesaca Lara, Patricia L. Suarez RiofrioFuentes:googlescopus